'Normals' presentation slideshows

Lecture 14 Images Chapter 34

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EM Algorithm

EM Algorithm. Likelihood, Mixture Models and Clustering. Introduction. In the last class the K-means algorithm for clustering was introduced. The two steps of K-means: assignment and update appear frequently in data mining tasks.

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LIGHT: Geometric Optics

LIGHT: Geometric Optics. The Ray Model of Light. Light travels in straight lines under a wide variety of circumstances Light travels in straight line paths called RAYS. Optical Instruments: Refractive. CONVERGING LENS. Causes parallel rays to converge Produces real and virtual images.

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Spectral Processing of Point-sampled Geometry

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Geometry-Based Watermarking of 3D Models

Geometry-Based Watermarking of 3D Models. Oliver Benedens. Induction. The idea is to use collections of surfaces as an embedding primitive. A bin is the entity for embedding one bit of watermark data.

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Ophthalmologist?

Surgeon . Ophthalmologist?. Physician . Anterior surgeon. Posterior surgeon. Ophthalmology. Oculoplasty. Cornea. Glaucoma. Retina. Strabismology. Neuroophthalmology. Ocular pathology. Modern Intraocular Surgery. Inflow. Microcomputer. outflow. Modern strabismology.

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Preserving Normals

Preserving Normals. Lecture 28 Wed, Nov 12, 2003. The Effect of a Transformation on a Normal. What happens to a normal vector under a linear transformation? A translation? A rotation? A scaling? Other?. v. n. v. n. Rotations and Translations.

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ENGINEERING CURVES Part- I {Conic Sections}

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Geometry of Shape Manifolds

Geometry of Shape Manifolds. Constraints define a manifold embedded in q 0 + L 2 Move along manifold by moving in tangent space and projecting back to manifold Tangent space is infinite dimensional, but normal space is characterized by three constraints defined in f 1. Tangents and Normals.

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MSmcDESPOT

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Tangents and Normals

Tangents and Normals. Chapter 9D. Tangents and normals. As mentioned earlier in this chapter, the derivative f '( x ) is actually the gradient function.

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Normal

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